Data Quality Assurance Engineer, Marketplace Intelligence and Data (Campus Recruitment 2026)

About The Team Shopee will be prioritizing applicants who have a current right to work in Singapore, and do not require Shopee sponsorship of a visa. Kindly note that you can only be considered in one recruitment process at a time within Sea Group and will be considered for jobs in the order that you have applied. The Marketplace Intelligence and Data team's mission is to build sustainable and efficient data and intelligence products to facilitate Shopee's business development. The team is responsible for Shopee e-commerce data warehouse construction, merchant and operation data product construction, all-link traffic data, product algorithms, including product release, control, information optimization, SPU library and its comparison business, marketing algorithms, including Merchandising, Product Selection, Recommendation Algorithm, Evaluation Algorithms, User Profiling, and in addition, basic AI capabilities, such as Machine Translation, Speech Algorithm, Image Algorithm, and Real-person Authentication. As a Data Annotation Quality Analyst at Shopee, you will play a critical role in ensuring the accuracy and quality of annotated data used to enhance our machine learning models and algorithms. You will be responsible for developing and implementing annotation quality pipelines, designing Standard Operating Procedures (SOPs), and evaluating the overall quality of annotations generated by our teams. Job Description • Annotation Quality Pipeline Development: • Collaborate with cross-functional teams to create and implement annotation quality pipelines that ensure consistent and accurate data labeling. • Develop and refine quality control processes to identify and rectify issues in annotated datasets. • SOP Design and Documentation: • Design, document, and communicate clear Standard Operating Procedures (SOPs) for data annotation teams. • Train and educate annotation teams on SOPs to ensure adherence to quality standards. • Quality Evaluation: • Conduct regular quality assessments of annotated data to identify discrepancies, inconsistencies, or errors. • Collaborate with annotation teams to provide feedback and guidance for improving annotation quality. Requirements • Bachelor's degree in a related field (e.g., Computer Science, Data Science, Statistics etc). • Knowledge of machine learning and data labeling techniques. • Knowledge of SQL, Python and Data Analysis skill is a plus. • Ability to leverage AI tools to enhance day-to-day tasks and improve efficiency. • Strong problem-solving skills with an attention to detail.